Non-destructive assessment of flesh firmness and dietary antioxidants of greenhouse-grown tomato (Solanum lycopersicum L.) at different fruit maturity stages

Non-destructive methods have been widely recognized for evaluating fruit quality traits of many horticultural crops and food processing industry. Destructive (analytical) test, and non-destructive evaluation of the quality traits were investigated and compared for ‘Red Rose’ tomato (Solanum lycopersicum L.) fruit grown under protected environment. Fresh tomato fruit at five distinctive maturity stages namely; breaker (BK), turning (TG), pink (PK), light-red (LR), and red (RD) were labeled and scanned using the handheld near infra-red (NIR) enhanced spectrometer at a wavelength range of 285–1200 nm. The labeled tomato samples were then measured analytically for flesh firmness, lycopene, β-carotene, total phenolic content (TPC) and total flavonoids content (TFC). The results revealed that quality traits could be estimated using NIR spectroscopy with a relatively high coefficient of determination (R2): 0.834 for total phenolic content, 0.864 for lycopene, 0.790 for total flavonoid content, 0.708 for β-carotene; and 0.679 for flesh firmness. The accumulation of Lyco and β-Car rapidly increased in tomatoes harvested between the TG and the LR maturity stages. Harvesting tomatoes at BK maturity stage resulted in significantly higher flesh firmness than harvesting at the later maturity stages. Tomato fruits had the lowest TPC and TFC contents at the earliest maturity stage (BK), while they had intermediate TPC and TFC levels at LR and RD maturity stages. NIR spectroscopic measurements of fruit firmness and lipophilic antioxidants in tomato fruit at various maturity stages were partially in accordance with those estimated by destructive (analytical) methods. Based on these findings, we recommend using non-destructive NIR spectroscopy as an effective tool for predicting tomato fruit quality during harvest stage and postharvest processing.

[1]  Jiangbo Li,et al.  Non-destructive evaluation of soluble solids content of apples using a developed portable Vis/NIR device , 2020 .

[2]  T. Cattaneo,et al.  Review: NIR Spectroscopy as a Suitable Tool for the Investigation of the Horticultural Field , 2019, Agronomy.

[3]  Bo Li,et al.  Advances in Non-Destructive Early Assessment of Fruit Ripeness towards Defining Optimal Time of Harvest and Yield Prediction—A Review , 2017, Plants.

[4]  W. Gould CHAPTER 26 – Composition of Tomatoes , 1992 .

[5]  Di Wu,et al.  Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications , 2013 .

[6]  Reinhold Carle,et al.  On-line application of near infrared (NIR) spectroscopy in food production , 2015 .

[7]  R. Wagh,et al.  Estimation of Total Phenolic and Total Flavonoid Content and Assessment of in vitro Antioxidant Activity of Extracts of Hamelia patens Jacq. Stems , 2016 .

[8]  S. Kawano,et al.  Firmness, dry-matter and soluble-solids assessment of postharvest kiwifruit by NIR spectroscopy , 1998 .

[9]  D. Joyce,et al.  A simple non-destructive method for laboratory evaluation of fruit firmness , 1997 .

[10]  H. García,et al.  Lipids in Fruits and Vegetables , 2017 .

[11]  Wilbur A. Gould,et al.  Tomato Production, Processing and Technology , 1992 .

[12]  P. Santamaria,et al.  Potassium nutrition increases the lycopene content of tomato fruit , 2007 .

[13]  R. Parker,et al.  The effect of harvesting stage on fruit quality and shelf-life of four tomato cultivars (Lycopersicon esculentum Mill). , 2013 .

[14]  Nafis Khuriyati,et al.  Precise near Infrared Spectral Acquisition of Intact Tomatoes in Interactance Mode , 2004 .

[15]  Shyam Narayan Jha,et al.  Non-destructive prediction of quality of intact banana using spectroscopy , 2012 .

[16]  M. Shafiq,et al.  Improved functional and nutritional properties of tomato fruit during cold storage , 2020, Saudi journal of biological sciences.

[17]  George J. Hochmuth,et al.  Knott's Handbook for Vegetable Growers , 1997 .

[18]  R. Lu,et al.  Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging technique , 2008 .

[19]  L. Niţǎ,et al.  Lycopene content of tomatoes and tomato products , 2009 .

[20]  J. Cebolla-Cornejo,et al.  Non-destructive determination of taste-related compounds in tomato using NIR spectra , 2019 .

[21]  A. Alhamdan,et al.  Evaluation of sensory and texture profile analysis properties of stored Khalal Barhi dates nondestructively using Vis/NIR spectroscopy , 2019, Journal of Food Process Engineering.

[22]  M. Nagata,et al.  Simple Method for Simultaneous Determination of Chlorophyll and Carotenoids in Tomato Fruit , 1992 .

[23]  M. Barańska,et al.  Determination of lycopene and beta-carotene content in tomato fruits and related products: Comparison of FT-Raman, ATR-IR, and NIR spectroscopy. , 2006, Analytical chemistry.

[24]  Benu Adhikari,et al.  Nondestructive Detection of Postharvest Quality of Cherry Tomatoes Using a Portable NIR Spectrometer and Chemometric Algorithms , 2019, Food Analytical Methods.

[25]  R. Slimestad,et al.  From producer to consumer: greenhouse tomato quality as affected by variety, maturity stage at harvest, transport conditions, and supermarket storage. , 2015, Journal of agricultural and food chemistry.

[26]  Diane M. Barrett,et al.  Color, Flavor, Texture, and Nutritional Quality of Fresh-Cut Fruits and Vegetables: Desirable Levels, Instrumental and Sensory Measurement, and the Effects of Processing , 2010, Critical reviews in food science and nutrition.

[27]  Shyam Narayan Jha,et al.  Non-destructive quality monitoring of stored tomatoes using VIS-NIR spectroscopy , 2016 .

[28]  Kerry B. Walsh,et al.  The uses of near infra-red spectroscopy in postharvest decision support: A review , 2020 .

[29]  P. Williams,et al.  Near-Infrared Technology in the Agricultural and Food Industries , 1987 .

[30]  T. Tadesse,et al.  Degradation and Formation of Fruit Color in Tomato (Solanum lycopersicum L.) in Response to Storage Temperature , 2015 .

[31]  B. L. O’dell,et al.  Potassium in nutrition. , 1997 .

[32]  I. Abdullahi,et al.  Proximate , Mineral and Vitamin Analysis of Fresh and Canned Tomato , 2016 .

[33]  V. Nour,et al.  Bioactive Compounds, Antioxidant Activity and Color of Hydroponic Tomato Fruits at Different Stages of Ripening , 2015 .

[34]  Kerry B. Walsh,et al.  Non-invasive techniques for measurement of fresh fruit firmness. , 2009 .

[35]  Annia García Pereira,et al.  Non-destructive measurement of acidity, soluble solids and firmness of Satsuma mandarin using Vis/NIR-spectroscopy techniques , 2006 .

[36]  Xiaojun Qiao,et al.  Use of Near-Infrared hyperspectral images to identify moldy peanuts , 2016 .

[37]  M. Siervo,et al.  Tomato and lycopene supplementation and cardiovascular risk factors: A systematic review and meta-analysis. , 2017, Atherosclerosis.

[38]  A. Alhamdan,et al.  Non-destructive method to predict Barhi dates quality at different stages of maturity utilising near-infrared (NIR) spectroscopy , 2017 .

[39]  M. M. Ferreira,et al.  Nondestructive determination of solids and carotenoids in tomato products by near-infrared spectroscopy and multivariate calibration. , 2005, Analytical chemistry.

[40]  Özge Çelik,et al.  Enzymatic and non-enzymatic comparison of two different industrial tomato (Solanum lycopersicum) varieties against drought stress , 2017, Botanical Studies.